Spatiotemporal Patterns of Population Mobility and its Determinants in Chinese Cities Based on Travel Big Data

Spatiotemporal Patterns of Population Mobility and its Determinants in Chinese Cities Based on Travel Big Data

Large-scale population mobility has an important impact on the spatial layout of China’s urban systems. Compared with traditional census data, mobile-phone-based travel big data can describe the mobility patterns of a population in a timely, dynamic, complete, and accurate manner. With the travel bi...

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Bibliographic Details
Main Authors: Zhen Yang, Weijun Gao, Xueyuan Zhao, Chibiao Hao, Xudong Xie
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Sustainability
Subjects:
spatiotemporal patterns
population mobility
travel big data
socioeconomic factors
social network analysis (SNA)
semiparametric geographically weighted regression (SGWR)
Online Access:https://www.mdpi.com/2071-1050/12/10/4012

Internet

https://www.mdpi.com/2071-1050/12/10/4012

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